Own the technical roadmap for Trepp's modeling capabilities, setting standards for model development, validation, and deployment across CRE, CMBS, CLO, and banking data products.
Recruit, manage, mentor, and develop a team of data scientists and engineers, including hiring and performance management.
Partner with technical leads across other engineering domains (full stack, data pipelines, operations) to ensure models are built on solid infrastructure and shipped into production cleanly.
Partner with Sales and Product teams on strategic client conversations to articulate Trepp’s AI and data science capabilities and support product adoption.
Help define Trepp's AI strategy in partnership with the CTO, covering both customer-facing AI features/workflows in our products and internal AI adoption across the company.
Identify and prioritize high-value AI use cases (e.g., agentic workflows, LLM-powered features, automation of modeling and reporting workflows) and translate them into a roadmap engineering can execute against.
Act as a technical advisor on AI capabilities, tradeoffs, and risk (accuracy, explainability, data governance) for both product and executive stakeholders.
Drive internal AI tooling adoption, helping other teams across the company use AI effectively in their own workflows.
Consult senior-level stakeholders across the organization to identify business and technology needs and optimize the use of data science and AI tools.
Evaluate new modeling techniques, tools, and data sources, and make the call on what's worth adopting.
Communicate technical concepts, model performance, and AI capabilities/limitations clearly to non-technical executives and stakeholders.
Required Skills
Bachelor's Degree in Computer Science, Statistics, Mathematics, Data Science, or equivalent field. Advanced degree preferred.
Minimum 8 years of experience in data science, quantitative modeling, or applied machine learning, including hands-on model-building work.
Minimum 4 years of experience in leading and running an engineering team. You will own team roadmap, planning, and team & individual goal setting.
Expertise in Python and the data science toolkit ecosystem (numpy, scikit-learn, pandas), plus strong SQL skills.
Demonstrated experience shaping or executing an AI strategy — not just using AI tools, but making decisions about what to build, buy, or adopt and why.
Experience deploying production AI systems using cloud-native technologies, containerization, and orchestration platforms.
Working knowledge of modern LLM/agentic AI concepts and tradeoffs (RAG, tool use, evaluation, guardrails), LLMOps and how they apply to real products.
Strong interpersonal skills and ability to effectively communicate with teams across the entire organization.
Preferred Skills
A drive to work on financial data systems & pipelines, including experience working with structured finance or commercial real estate datasets.
Experience with MLOps practices to manage model lifecycle, versioning, deployment, and monitoring using best practices, APIs, and tooling.
Prior experience building or scaling an internal AI tooling/adoption program, not just customer-facing AI.
Background in Financial Services, commercial real estate or related industry.
Familiarity with Atlassian Product Suite (Jira/Confluence), AWS Cloud, and GitHub-based engineering workflows.
Salary: Base salary starting from 230k plus bonus eligible
Benefits and Perks
Base + target bonus compensation structure
Medical, Dental, Vision insurance
401K (with employer match)
Student Debt Retirement Plan
Life insurance, long term disability, short term disability all covered by the company
Flexible paid time off (PTO)
Sixteen (16) weeks paid primary caregiver leave (Biological, adoptive, and foster parents are all eligible)
Four (4) weeks paid parental leave
Pet insurance
Laptop (company issued) + WFH equipment reimbursement
Career progression plan
Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)
Involvement in Diversity and Inclusion programs
Fun company events and volunteering opportunities
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status).
Workplace Policy
NYC, Dallas, and London office-based positions: Trepp’s offices follow a 3–2 hybrid-working policy with the expectation of in-office work on Tuesday–Thursday and the option to work from home on Monday and Friday. Trepp maintains a drug-free workplace.
